title: Older breast cancer survivors: can interaction analyses identify vulnerable subgroups? A report from the American Cancer Society Studies of Cancer Survivors.
abstract: OBJECTIVE
  To explore interactions among personal, cancer, aging, and symptom variables relative to physical function (PF) in older adult breast cancer survivors to better identify vulnerable subgroups.
  
  
  METHODS
  Secondary analysis of the American Cancer Society Studies of Cancer Survivors II.
  
  
  METHODS
  U.S. population-based mail and telephone survey.
  
  
  METHODS
  2,885 breast cancer survivors from 14 different state cancer registries stratified by cancer type and time since diagnosis. A total of 184 female breast cancer survivors, aged 70 years or older, had complete data on variables of interest and were, therefore, included in this analysis.
  
  
  METHODS
  Chi-Square Automatic Interaction Detector (CHAID) analysis was used to examine variable interactions.
  
  
  METHODS
  PF, symptom bother, comorbidity, social support, length of survivorship, treatment, stage, body mass index, physical activity, emotional health, and personal characteristics.
  
  
  RESULTS
  An interaction effect between symptom bother and comorbidity was found in 39% of older adult breast cancer survivors, and an interaction effect between symptom bother and marital status was found in 40%. The most vulnerable group (8%) had high symptom bother and more than four comorbid conditions.
  
  
  CONCLUSIONS
  Symptom bother, comorbidity, and marital status were found to have significant interactions such that high comorbidity and high symptom bother were significantly related to lower PF. Married participants with lower symptom bother had significantly higher PF scores. Comorbidity may be the best predictor of PF for the extreme ends of the symptom bother continuum. Advancing age alone was not a sufficient predictor of PF in this analysis.
  
  
  CONCLUSIONS
  Specific attention to symptom reports, comorbidity, and marital status can guide identification of older adult cancer survivors in need of ongoing survivorship care. The findings support use of a comprehensive assessment and tailored approach to care based on factors other than age.
  
  
  CONCLUSIONS
  CHAID interaction analysis may be useful in exploring complex nursing problems, such as the needs of older adult cancer survivors, and help oncology nurses develop appropriate interventions and referrals.
authors.affiliation: Georgia Baptist College of Nursing, Mercer University, Atlanta, GA, USA. lmbellury@gmail.com
authors.forename: Lanell
authors.initials: L
authors.lastname: Bellury
authors.forename: Lee
authors.initials: L
authors.lastname: Ellington
authors.forename: Susan L
authors.initials: SL
authors.lastname: Beck
authors.forename: Marjorie A
authors.initials: MA
authors.lastname: Pett
authors.forename: Jane
authors.initials: J
authors.lastname: Clark
authors.forename: Kevin
authors.initials: K
authors.lastname: Stein
mesh_terms: D000368:Aged; D000570:American Cancer Society; D001943:Breast Neoplasms / Q000453:epidemiology* / Q000451:nursing* / Q000523:psychology; D015897:Comorbidity; D003625:Data Collection; D005260:Female; D006304:Health Status; D006801:Humans; D007407:Interviews as Topic; D008019:Life Style; D008603:Mental Health; D011788:Quality of Life; D012042:Registries; D017741:Survivors / Q000523:psychology / Q000706:statistics & numerical data*